Texture Image Retrieval Using Non-separable Wavelets and Local Binary Patterns

Authors:
Xin Liu;Xinge You;Yiu-ming Cheung
Affiliations:
-;-;-
Venue:
CIS '09 Proceedings of the 2009 International Conference on Computational Intelligence and Security - Volume 01
Year:
2009

Citing 0
Cited 1

Customised frequency pre-filtering in a local binary pattern-based classification of gastrointestinal images

MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support

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Abstract

This paper proposes a new image retrieval method using non-separable discrete wavelets (NDWT) and local binary patterns (LBP). Compared with the traditional wavelet, the three high frequency sub-images generated by the non-separable wavelets can extract more information and do not extensively focus on the three special directions any more. Further, local image texture and their occurrence histogram called local binary pattern (LBP) are a very powerful texture feature in spatial domain. Experimental results demonstrate the efficacy of the proposed algorithm in comparison with the existing related algorithms.